| TÃtulo : |
Glasgow, UK, August 23–28, 2020, Proceedings, Part II |
| Tipo de documento: |
documento electrónico |
| Autores: |
Bartoli, Adrien, ; Fusiello, Andrea, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XXVII, 759 p. 13 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-66096-3 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Visión por computador Procesamiento del lenguaje natural (Informática) Sistemas de reconocimiento de patrones Ciencias sociales Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento del lenguaje natural (PNL) Reconocimiento de patrones automatizado Aplicación informática en ciencias sociales y del comportamiento Interfaces de usuario e interacción persona-computadora |
| Ãndice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte II se centra en los comandos para vehÃculos autónomos; visión por computadora para análisis ART; reconocimiento, traducción y producción de lenguas de signos; antecedentes inductivos visuales para un aprendizaje profundo eficiente en datos; Poses 3D en el desafÃo salvaje; localización basada en mapas para conducción autónoma; recuperar la pose del objeto 6D; y recuperación de forma a partir de escaneos 3D texturizados parciales. |
| Nota de contenido: |
W12 - Commands 4 Autonomous Vehicles -- Commands 4 Autonomous Vehicles (C4AV) Workshop Summary -- Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations -- C4AV: Learning Cross-Modal Representations from Transformers -- Cosine meets Softmax: A tough-to-beat baseline for visual grounding -- Attention Enhanced Single Stage Multimodal Reasoner -- AttnGrounder: Talking to Cars with Attention -- W13 - Computer VISion for ART Analysis -- Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950-1995 -- A Dataset and Baselines for Visual Question Answering on Art -- Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors -- Demographic In uences on Contemporary Art with Unsupervised Style Embeddings -- Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial -- Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting -- W15 - Sign Language Recognition, Translation and Production -- SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop -- Automatic Segmentation of Sign Language into Subtitle-Units -- Phonologically-meaningful Subunits for Deep Learning-based Sign Language Recognition -- Recognition of an effective and grammatical facial expressions: a study for Brazilian sign language -- Real-Time Sign Language Detection using Human Pose Estimation -- Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos -- A Plan for Developing an Auslan Communication Technologies Pipeline -- A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users -- Score-level Multi Cue Fusion for Sign Language Recognition -- Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach -- Improving Keyword Search Performance in Sign Language with Hand Shape Features -- W16 - Visual InductivePriors for Data-Efficient Deep Learning -- Lightweight Action Recognition in Compressed Videos -- On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron -- Injecting Prior Knowledge into Image Caption Generation -- Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition -- Unsupervised Learning of Video Representations via Dense Trajectory Clustering -- Distilling Visual Priors from Self-Supervised Learning -- Unsupervised Image Classi cation for Deep Representation Learning -- TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classi cation under Partial Occlusion -- What leads to generalization of object proposals -- A Self-Supervised Framework for Human Instance Segmentation -- Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering -- A visual inductive priors framework for data-efficient image classification -- W18 - 3D Poses In the Wild Challenge -- Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation -- Beyond Weak Perspective for Monocular 3D Human Pose Estimation -- W20 - Map-based Localization for Autonomous Driving -- Geographically Local Representation Learning with a Spatial Prior for Visual Localization -- W22 - Recovering 6D Object Pose -- BOP Challenge 2020 on 6D Object Localization -- StructureFromGAN: Single Image 3D Model Reconstruction and Photorealistic Texturing -- 6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames -- Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation -- Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects -- DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss -- How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking -- Hybrid Approach for 6DoF Pose Estimation -- Leaping from 2D Detection to E cient 6DoF Object Pose Estimation -- W23 - SHApe Recovery from Partial Textured 3D Scans -- Implicit Feature Networks for Texture Completion from Partial 3D Data -- 3DBooSTeR: 3D Body Shape and Texture Recovery -- SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
Glasgow, UK, August 23–28, 2020, Proceedings, Part II [documento electrónico] / Bartoli, Adrien, ; Fusiello, Andrea, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVII, 759 p. 13 ilustraciones. ISBN : 978-3-030-66096-3 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Visión por computador Procesamiento del lenguaje natural (Informática) Sistemas de reconocimiento de patrones Ciencias sociales Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento del lenguaje natural (PNL) Reconocimiento de patrones automatizado Aplicación informática en ciencias sociales y del comportamiento Interfaces de usuario e interacción persona-computadora |
| Ãndice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artÃculos completos, 18 artÃculos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artÃculos tratan diversos temas de visión por computadora. La Parte II se centra en los comandos para vehÃculos autónomos; visión por computadora para análisis ART; reconocimiento, traducción y producción de lenguas de signos; antecedentes inductivos visuales para un aprendizaje profundo eficiente en datos; Poses 3D en el desafÃo salvaje; localización basada en mapas para conducción autónoma; recuperar la pose del objeto 6D; y recuperación de forma a partir de escaneos 3D texturizados parciales. |
| Nota de contenido: |
W12 - Commands 4 Autonomous Vehicles -- Commands 4 Autonomous Vehicles (C4AV) Workshop Summary -- Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations -- C4AV: Learning Cross-Modal Representations from Transformers -- Cosine meets Softmax: A tough-to-beat baseline for visual grounding -- Attention Enhanced Single Stage Multimodal Reasoner -- AttnGrounder: Talking to Cars with Attention -- W13 - Computer VISion for ART Analysis -- Detecting Faces, Visual Medium Types, and Gender in Historical Advertisements, 1950-1995 -- A Dataset and Baselines for Visual Question Answering on Art -- Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors -- Demographic In uences on Contemporary Art with Unsupervised Style Embeddings -- Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial -- Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting -- W15 - Sign Language Recognition, Translation and Production -- SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop -- Automatic Segmentation of Sign Language into Subtitle-Units -- Phonologically-meaningful Subunits for Deep Learning-based Sign Language Recognition -- Recognition of an effective and grammatical facial expressions: a study for Brazilian sign language -- Real-Time Sign Language Detection using Human Pose Estimation -- Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos -- A Plan for Developing an Auslan Communication Technologies Pipeline -- A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users -- Score-level Multi Cue Fusion for Sign Language Recognition -- Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach -- Improving Keyword Search Performance in Sign Language with Hand Shape Features -- W16 - Visual InductivePriors for Data-Efficient Deep Learning -- Lightweight Action Recognition in Compressed Videos -- On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron -- Injecting Prior Knowledge into Image Caption Generation -- Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition -- Unsupervised Learning of Video Representations via Dense Trajectory Clustering -- Distilling Visual Priors from Self-Supervised Learning -- Unsupervised Image Classi cation for Deep Representation Learning -- TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classi cation under Partial Occlusion -- What leads to generalization of object proposals -- A Self-Supervised Framework for Human Instance Segmentation -- Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering -- A visual inductive priors framework for data-efficient image classification -- W18 - 3D Poses In the Wild Challenge -- Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation -- Beyond Weak Perspective for Monocular 3D Human Pose Estimation -- W20 - Map-based Localization for Autonomous Driving -- Geographically Local Representation Learning with a Spatial Prior for Visual Localization -- W22 - Recovering 6D Object Pose -- BOP Challenge 2020 on 6D Object Localization -- StructureFromGAN: Single Image 3D Model Reconstruction and Photorealistic Texturing -- 6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames -- Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation -- Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects -- DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss -- How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking -- Hybrid Approach for 6DoF Pose Estimation -- Leaping from 2D Detection to E cient 6DoF Object Pose Estimation -- W23 - SHApe Recovery from Partial Textured 3D Scans -- Implicit Feature Networks for Texture Completion from Partial 3D Data -- 3DBooSTeR: 3D Body Shape and Texture Recovery -- SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
Glasgow, UK, August 23–28, 2020, Proceedings, Part II
